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Parameter‐Efficient Adaptation of GPT‐Style Foundation Models for Power Grid Load Forecasting

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Published in:Electronics Letters
Format: Online Article RSS Article
Published: 2026
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container_title Electronics Letters
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discipline_display Electronics
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journal_source_facet Electronics Letters
last_indexed 2026-06-20T21:31:51.751Z
publishDate 2026
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spellingShingle Parameter‐Efficient Adaptation of GPT‐Style Foundation Models for Power Grid Load Forecasting
Electronics
General
Electronics
sub_discipline_display General
sub_discipline_facet General
subject_display Electronics
General
Electronics
subject_facet Electronics
General
Electronics
title Parameter‐Efficient Adaptation of GPT‐Style Foundation Models for Power Grid Load Forecasting
title_alt Adaptación eficiente de parámetros de modelos fundacionales estilo GPT para pronóstico de carga de redes eléctricas
Adaptation efficace des paramètres des modèles fondamentaux de type GPT pour la prévision de charge du réseau électrique
Adaptação Eficiente de Parâmetros de Modelos Fundacionais Estilo GPT para Previsão de Carga em Redes Elétricas
title_auth Parameter‐Efficient Adaptation of GPT‐Style Foundation Models for Power Grid Load Forecasting
title_es_txt Adaptación eficiente de parámetros de modelos fundacionales estilo GPT para pronóstico de carga de redes eléctricas
title_fr_txt Adaptation efficace des paramètres des modèles fondamentaux de type GPT pour la prévision de charge du réseau électrique
title_full Parameter‐Efficient Adaptation of GPT‐Style Foundation Models for Power Grid Load Forecasting
title_fullStr Parameter‐Efficient Adaptation of GPT‐Style Foundation Models for Power Grid Load Forecasting
title_full_unstemmed Parameter‐Efficient Adaptation of GPT‐Style Foundation Models for Power Grid Load Forecasting
title_pt_txt Adaptação Eficiente de Parâmetros de Modelos Fundacionais Estilo GPT para Previsão de Carga em Redes Elétricas
title_short Parameter‐Efficient Adaptation of GPT‐Style Foundation Models for Power Grid Load Forecasting
title_sort parameter‐efficient adaptation of gpt‐style foundation models for power grid load forecasting
topic Electronics
General
Electronics
url https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/ell2.70612?af=R